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Learner Reviews & Feedback for Machine Learning Pipelines with Azure ML Studio by Coursera Project Network

4.5
stars
814 ratings

About the Course

In this project-based course, you are going to build an end-to-end machine learning pipeline in Azure ML Studio, all without writing a single line of code! This course uses the Adult Income Census data set to train a model to predict an individual's income. It predicts whether an individual's annual income is greater than or less than $50,000. The estimator used in this project is a Two-Class Boosted Decision Tree classifier. Some of the features used to train the model are age, education, occupation, etc. Once you have scored and evaluated the model on the test data, you will deploy the trained model as an Azure Machine Learning web service. In just under an hour, you will be able to send new data to the web service API and receive the resulting predictions. This is the second course in this series on building machine learning applications using Azure Machine Learning Studio. I highly encourage you to take the first course before proceeding. It has instructions on how to set up your Azure ML account with $200 worth of free credit to get started with running your experiments! This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews

VK

Jul 15, 2021

Excellent for understanding machine learning pipelines. Just hope the cloud workspace is less laggy next time.

JB

Sep 16, 2020

Vvery good course jjkkkmmnmmmkjjjbgvfffddďdddddxxccxxxçxxxxxxxxxxxxdddrr5ygvvgg

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26 - 50 of 130 Reviews for Machine Learning Pipelines with Azure ML Studio

By Deleted A

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Sep 13, 2020

What a nice way to learn and do the practical along with the instructor

By Humanshu J

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Jan 5, 2025

project helped me to understand how professional projects go under

By Ramachandra A V

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Feb 15, 2021

It gives the most insight into machine learning pipeline.

By Nawas N

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Feb 14, 2021

Well crafted and delivered excellently in short time.

By daniel s

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Mar 13, 2021

guided project was informative and understandable

By Aayushi C

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May 30, 2021

this was very easy way to study...enjoyed it!!!

By Archisman R C

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Jan 24, 2023

Great experience and very well demonstrated

By Soumyadeep D

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May 17, 2022

It was awesome and super fun to do that

By Vipin K

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Jul 6, 2021

The course project was well explained.

By MR. P W

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Jul 20, 2021

Great Course with a Live Project

By Sindhu S

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Oct 27, 2024

This course is very helpful for me

By Derf S

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Feb 14, 2024

Great tool and very detail work!

By Deleted A

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Dec 6, 2021

this course was very interesting

By Jonathan G

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Apr 30, 2021

Great for beginners like me. <3

By Swati C

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Oct 29, 2021

this is very baneficial for ma

By Anthony

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Jan 24, 2021

Easy to understand and follow.

By Md R I

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Sep 13, 2020

Really Helpful course for me

By Dr G N R D

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May 28, 2021

excellent and more useful

By Bipasha M

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Jul 7, 2021

It was a good experiment

By Nick S

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Apr 22, 2025

Nice course! Well done!

By Charan k K

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Apr 10, 2022

nice course really best

By Wisnu S N

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Mar 7, 2021

Great project exercise!

By Mohamad A

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Apr 1, 2024

Right to the point!

By Hanifah N A

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Dec 21, 2020

Amazing! Thank you!

By RANJANI R J

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Aug 10, 2020

it is useful for me